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In the modern financial landscape, Artificial Intelligence (AI) is gaining prominence, offering significant economic advantages. This research paper aims to investigate the impact of Behavioural Biases (BB) such as Overconfidence Bias (OCB), Fear of Missing Out (FOMO), Herding Bias (HB) and Regret Aversion Bias (RAB) on Investment Decision-Making (IDM). Additionally, it explores how the AI-led Adoption of Digital Advisory Services (ADAS) moderates these biases among Gen Z investors in India.

The study utilized a convenience sampling method, gathering 457 responses from Gen Z investors in India through an online survey questionnaire. The data was analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM).

The results confirm a significant relationship between OCB, FOMO, HB and RAB on IDM. The study also found that ADAS significantly moderated the relationship between FOMO and IDM, as well as between HB and IDM. However, the moderation effect of ADAS was not supported for the relationships between OCB and IDM, and RAB and IDM.

This research offers valuable insights for academics, individual investors, fintech companies and policymakers. It highlights how behavioural biases affect IDM and underscores the importance of AI-enabled digital services in helping Gen Z investors recognize and manage these biases. Policymakers can use these insights to establish standards for AI use, ensuring regulatory compliance and promoting ethical conduct in AI-driven investment decisions.

The novelty of this study lies in its conceptual approach, particularly in examining the moderation role of ADAS in addressing behavioural biases among Gen Z investors.

The significance of financial literacy (FL) in deciding how to allocate one’s investment capital has recently attracted much attention from various market participants and stakeholders. The study examines how FL affects individual investors' investment decisions (ID) in emerging markets. Additionally, the study investigates the potential mediating effects of attitude (ATT) and overconfidence bias (OCB) on the association between FL and ID.

The study employed a structured questionnaire to collect data from 311 individual investors in India, using both convenience and snowball sampling methods. The collected data were analysed using Partial Least Square Structural Equation Modelling (PLS-SEM) and processed through SMART PLS 4.0 software to test the study’s hypotheses.

FL alone may not greatly affect ID, but the study enhances understanding of investor behaviour by examining how ATT and OCB mediate the link between FL and ID. The findings imply that FL, combined with positive ATT and overconfidence, empowers individual investors with the knowledge and skills for appropriate decision-making.

This research would benefit financial institutions, financial experts, and individual investors in India since it enables them to evaluate the causes and biases affecting their IDs and manage their portfolios accordingly. Policymakers should develop appropriate FL programs for investors to make informed decisions to achieve financial well-being.

The paper is exceptional in its approach as it delves into the mediating function of ATT and OCB in the intricate association between FL and ID. This innovative approach sets it apart from other studies in the field, making it a unique contribution to literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0370

This study aims more than just assess the direct relationship between corporate social responsibility (CSR) and sustained competitive advantage (SCA). It explores the subtleties of how these impacts might be amplified or altered by socially responsible leadership (SRL). The study emphasizes how important community service (CS) is mediating this complicated connection.

In this study, a survey instrument tailored for employees of Indian private multinational corporations (MNCs) and public sector undertakings/government organizations (PSU/Govt. Orgn.) was used. A total of 517 questionnaires were used for subsequent analysis. Confirmatory factor analysis (CFA) was then carried out on four self-reported scales to assess the discriminant validity of both samples. Subsequently, regression analysis was performed to check the effect of CSR on SCA, with CS acting as a mediator and SRL serving as a moderator.

The findings affirm that CS mediates the relationship between CSR and SCA. Simultaneously, SRL is identified as a moderator in the association between CS and SCA. The mediating role of CS in connecting CSR to SCA holds for both private and public sectors, highlighting the importance of community engagement. A notable observation is the limited prevalence of SRL among PSU/Govt. Orgn. respondents.

This study emphasizes the pivotal role of CSR in transforming companies into socially responsible entities, thereby augmenting corporate reputation and goodwill. Furthermore, the influence of SRL is highlighted as a moderator in the CSR−SCA relationship, impacting both private and public organizations. This research presents a conceptual framework of moderated mediation, shedding light on the complex relationship between CSR and SCA.

This study illuminates the importance of CS and SRL as critical elements in achieving SCA by recognizing a gap in current research. This distinctive perspective enhances the study's originality, providing novel insights into the intricate interplay between CSR, CS, SRL and SCA.

The public distribution system (PDS) is an Indian food security system established to manage the distribution of food grains at affordable prices. As a result of the population explosion, the long-established PDS system finds it challenging to maintain operational efficiency, quality, trust and transparency. This paper explores the possibility of leveraging blockchain technology to overcome these operational hurdles.

Through a literature review and expert interactions, the present research identifies critical success factors in terms of enablers and barriers that influence the adoption of blockchain technology in PDS. Furthermore, we propose two independent interpretive structural models (ISM) and MICMAC to characterize these attributes.

The research identifies 15 distinct enablers and ten barriers that influence the diffusion of the latest technology in the sector at focus. The analyses disclose the interrelationships/dependencies among these enablers and between barriers, along with their individual driving power and dependence power.

The research showcases the importance of automating the system and illustrates how the features of blockchain technology can assist in augmenting stakeholder satisfaction levels. However, poor or nonexistent government regulations and patronage are found to be the major impediments to adoption. The research also delineates the cost implications of this barrier through its interrelationships with other barriers.

Interesting inferences are drawn from the models that offer actionable insights for the industry, government and technologists for improving PDS performance. Such interventions will ensure national food security through enhanced trust and transparency, which can further improve efficiency and effectiveness.

The Indian government’s launch of Digital India initiative is critical to achieving a sustainable future by leveraging digital capabilities to promote social justice, economic prosperity and environmental stewardship. There are a lot of factors affecting digital India’s transformation to achieve sustainable development goals. This study aims to identify, examine and develop an empirical model estimating the relationship among enablers affecting and enhancing digital India’s transformation toward sustainability.

Following a thorough review of the literature, 10 key enablers were identified and analyzed using the total interpretive structural model (TISM). This novel approach has been adopted to analyze the hierarchical linkage between identified Enablers. Further Matrice d’impacts croisés multiplication appliquée à un classement (MICMAC) analysis technique is used to evaluate the driving and dependence power among enablers.

Findings show that the government’s supportive policy is the strategic enabler with the highest driving power, positioned at the bottom of the model. The government must support digital empowerment initiatives to ensure all individuals have access to the information they require to make proper decisions regarding their lives. This study examines the literature to generalize the findings to focus on the motivator of digital India transformation to achieve sustainable development goals.

This study suggests that TISM and MICMAC-based hierarchical models help practitioners, managers and other stakeholders to focus more on strategic factors to enhance the performance aspects of digital transformation. Government, business and academic cooperation promotes a comprehensive approach to environmental sustainability by stimulating innovation and digital approach implementation.

In addition, it offers novel insights into the enablers, such as how the identified enablers interact with one another depending on the drive and dependency power to achieve the goals of digital India’s transformation to achieve sustainable development goals.

Blockchain technology offers numerous venues for supply chain applications and research. However, the connections between specific blockchain features and future applications have been unclear to date in its evolution. The purpose of this study is to fill this void.

The authors advance the understanding of blockchain in supply chain management by providing a new research framework built on unique blockchain features as applied across core supply chain functions.

This study’s framework is a feature-function matrix that integrates four overarching supply chain functions (i.e. supplier management, logistics, production processes and customer management) with nine blockchain features (i.e. traceability/provenance, accessibility, visibility, immutability, distributed/shared ledger, validity, peer-to-peer transacting, pseudonymity and programmability). This study’s feature-function framework is supported by a structured, systematic review of reviews using PRISMA methods. The authors use the framework to present a future blockchain research agenda in supply chain management.

The authors provide a new blockchain feature/supply chain function framework and provide a structured path for future research.

As an emerging technology, Radio Frequency IDentification (RFID) and blockchain have the potential to disrupt many areas of business and social structure. However, it is loaded with significant technical, social, legal, financial and ethical complications that bring difficulty in its widespread use within the public distribution system (PDS). This research aims to analyze the barriers to integrated RFID and blockchain adoption in developing countries' PDS. Furthermore, this study also aims to validate the proposed framework against the Indian PDS.

The proposed framework consists of 10 potential barriers to integrated RFID and blockchain adoption. To identify the barriers, this study referred to the extant literature followed by consultations with domain experts. This study prepared the DEMATEL-based questionnaires, collected the data from four domain experts and analyzed them using an integrated Grey-DEMATEL approach.

The obtained results provide a precise list of barriers and the correlations among them. From the results, it is concluded that the unavailability of a skilled workforce at affordable cost, lack of knowledge about privacy level and unclear return on investment and benefits are the most critical blockchain adoption barriers in the context of Indian PDS.

This research proposes a framework consisting of 10 integrated RFID and blockchain adoption barriers in relation to Indian PDS. It also proposes a method for analyzing causal interrelationships between the barriers while allowing for data input from domain experts. Consequently, the framework is capable of coping with experts' biases and data scarcity.

The study explores new aspects of financial investment management with technological involvement, providing detailed knowledge for future research. It identifies gaps in the literature and summarizes key research topics, utilizing a precise data collection framework.

The study is structured using systematic and bibliometric analysis with the antecedents, decisions, outcome-theories, context, and methods (ADO-TCM) framework. Data from Scopus and Web of Science were filtered based on Q1, Q2, social sciences citation index (SSCI) and Australian Business Deans Council (ABDC) criteria, resulting in 128 articles majorly emphasizing the last ten years. The “R” package facilitated bibliometric analysis, starting with data cleaning and import into Biblioshiny for effective results interpretation.

The study found that artificial intelligence detects and mitigates biases in investment decisions through rigorous pattern analysis, including social and ethical biases. The ADO-TCM framework revealed emerging theories, such as robo-advisory theory, offering new directions in behavioral finance for researchers and practitioners. The top authors and articles highlighted existing work in financial management.

The study’s originality is highlighted by its use of unique frameworks for data collection (SPAR-4-SLR) and interpretation (ADO-TCM).

This study aims to explore supply chain disruptions during the COVID-19 pandemic in the small and medium enterprise (SME) sector in Oman. This study analyzes the impact on selected supply chain drivers – facilities, inventory, transportation and sourcing. It further intends to explore whether the supply chain challenges faced by the SME sector in Oman impact their overall performance.

This study follows the quantitative technique of structural equation modeling to examine the proposed hypotheses. Data were collected electronically from SME managers/owners/entrepreneurs. All items were adopted and measured using a five-point Likert scale. One hundred and four complete and usable responses were received and considered.

The data was analyzed using SPSS and PLS statistical software. The model has been supported empirically, and the results showed a significant relationship between supply chain drivers and SMEs’ overall performance in Oman, except for supply chain inventory. The results have demonstrated that the COVID-19 pandemic has affected the SMEs’ supply chain drivers in Oman and, consequently, their overall performance.

The results of this research can drive the development and implementation of a supply chain management strategy. This research will help policymakers induce the performance of SMEs affected by the COVID-19 pandemic. It would further enhance strategic sourcing and supplier performance considering the developed practices associated with the resource-based view.

The originality of the current study lies in its ability to empirically test two models within the Omani SMEs context while considering the supply chain drivers as a single variable or dividing it into four separate independent variables. This study would provide a preview for scholars for such empirical investigation and serve as a reference for policymakers and practitioners to maintain a management system of crises that may protect the SME supply chain drivers.

This paper examines the current state of blockchain governance research. The study’s findings also propose a conceptual framework for the use of blockchain in governance and global governance and provide a global look at how public and private sectors alike are implementing new technologies.

The study is qualitative as well as quantitative in nature. The authors used Preferred Reporting Items for Systematic and Meta-Analysis (PRISMA) to gather data for the study. Furthermore, a bibliometric analysis using VOSviewer visualization tool and R Studio was carried out to attain the research objectives.

Many scholars and practitioners from around the world are interested in the topic, according to the analysis. This is a multidisciplinary study, so researchers have looked at how the blockchain can be used to govern countries, public utilities and global facilities, including corporations. There are numerous examples of how technology has been used in global governance, and the authors found that governments, as well as corporations around the world, have implemented technology in a variety of areas that affect the public and other stakeholders.

This study makes numerous contributions. In the first place, it presents the complex concept of blockchain in an easier to understand way. The numerous governmental and commercial initiatives that have made use of blockchain are also highlighted. As a result, the use of technology in corporate and social governance will continue to grow. Finally, the research will inform the academic community on the current state of the topic and potential future directions.

As a result of this research, academics and scholars can better understand the potential of blockchain in various governance models, ranging from developed to developing economies. The general public, as well as organizations, will benefit from the decentralized nature of the blockchain in a variety of ways related to their day-to-day governance. To the best of authors’ knowledge, this is a first kind of research on blockchain in governance using PRISMA and bibliometrics tools.